{"id":"https://openalex.org/W3170971397","doi":"https://doi.org/10.1145/3406325.3451113","title":"A framework for dynamic matching in weighted graphs","display_name":"A framework for dynamic matching in weighted graphs","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3170971397","doi":"https://doi.org/10.1145/3406325.3451113","mag":"3170971397"},"language":"en","primary_location":{"id":"doi:10.1145/3406325.3451113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406325.3451113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033889707","display_name":"Aaron Bernstein","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aaron Bernstein","raw_affiliation_strings":["Rutgers University, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000225226","display_name":"Aditi Dudeja","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditi Dudeja","raw_affiliation_strings":["Rutgers University, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027322619","display_name":"Zachary Langley","orcid":"https://orcid.org/0000-0003-1369-4948"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary Langley","raw_affiliation_strings":["Rutgers University, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033889707"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":2.2923,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88450652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"668","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.7416362166404724},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7199082970619202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6181564331054688},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5568015575408936},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5364158153533936},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.512411892414093},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.439535915851593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40725696086883545},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4027451276779175},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3943084478378296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3191184997558594},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2834527790546417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13505062460899353}],"concepts":[{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7416362166404724},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7199082970619202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181564331054688},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5568015575408936},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5364158153533936},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.512411892414093},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.439535915851593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40725696086883545},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4027451276779175},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3943084478378296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3191184997558594},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2834527790546417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13505062460899353},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3406325.3451113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406325.3451113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W853930207","https://openalex.org/W1564876084","https://openalex.org/W1639030016","https://openalex.org/W1871809785","https://openalex.org/W1981479258","https://openalex.org/W1983248819","https://openalex.org/W2047281923","https://openalex.org/W2146507303","https://openalex.org/W2153715991","https://openalex.org/W2162656786","https://openalex.org/W2341465683","https://openalex.org/W2584943837","https://openalex.org/W2772608424","https://openalex.org/W2788362138","https://openalex.org/W2800650906","https://openalex.org/W2809141942","https://openalex.org/W2889431167","https://openalex.org/W2898134584","https://openalex.org/W2949936571","https://openalex.org/W2949942995","https://openalex.org/W2952341094","https://openalex.org/W2962761621","https://openalex.org/W2963298291","https://openalex.org/W2964007887","https://openalex.org/W2974991453","https://openalex.org/W2990730306","https://openalex.org/W3035470141","https://openalex.org/W3037335885","https://openalex.org/W4235789583","https://openalex.org/W4252630569"],"related_works":["https://openalex.org/W1993064022","https://openalex.org/W2388505395","https://openalex.org/W1766698920","https://openalex.org/W2168079142","https://openalex.org/W1492644053","https://openalex.org/W4376639521","https://openalex.org/W4304699819","https://openalex.org/W4316652364","https://openalex.org/W4283699216","https://openalex.org/W3170971397"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,23,54],"new":[3],"framework":[4],"for":[5,34],"computing":[6,35],"approximate":[7],"maximum":[8],"weight":[9],"matchings.":[10,39],"Our":[11],"primary":[12],"focus":[13],"is":[14,22],"on":[15],"the":[16,27,30,50,59,70],"fully":[17],"dynamic":[18],"setting,":[19],"where":[20],"there":[21],"large":[24],"gap":[25],"between":[26],"guarantees":[28],"of":[29,56],"best":[31],"known":[32],"algorithms":[33,46],"weighted":[36,44],"and":[37,72],"unweighted":[38,51],"Indeed,":[40],"almost":[41],"all":[42],"current":[43],"matching":[45],"that":[47],"reduce":[48],"to":[49],"problem":[52],"lose":[53],"factor":[55],"two":[57],"in":[58,64],"approximation":[60],"ratio.":[61],"In":[62],"contrast,":[63],"other":[65],"sublinear":[66],"models":[67],"such":[68],"as":[69],"distributed":[71],"streaming":[73],"models,":[74],"recent":[75],"work":[76],"has":[77],"largely":[78],"closed":[79],"this":[80],"weighted/unweighted":[81],"gap.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}